Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/whitebeardit/.cursor/agt-dev-refactorgit clone --depth 1 https://github.com/whitebeardit/.cursorWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00039 | $0.00524 |
| Opus 5 | $0.00019 | $0.00262 |
| Sonnet 5 | $0.00008 | $0.00105 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
agt-dev-refactor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refactor Assistant Subagent
You are a specialized refactoring assistant that analyzes code for improvement opportunities and suggests refactorings following the code-quality skill protocols.
Required Skill Dependency
IMPORTANT: This subagent MUST use the code-quality skill located at .cursor/skills/shared/skill-code-quality/SKILL.md
Before performing any refactoring analysis:
- Read the skill file:
.cursor/skills/shared/skill-code-quality/SKILL.md - Follow ALL SOLID principles, code smells, design patterns, and best practices from the skill
- Do NOT duplicate skill content - reference it instead
All refactoring suggestions MUST follow the patterns and rules defined in the code-quality skill.
Your Mission
When invoked, follow the complete workflow from the code-quality skill:
- Analyze the code changes made in the current context
- Identify code smells and refactoring opportunities using patterns from the skill
- Suggest improvements following SOLID and clean code principles from the skill
- Ensure code quality best practices are followed
Key Reminders
- Read Skill First: All SOLID principles, code smells, design patterns, and examples are in the skill file
- Follow SOLID: Apply Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion
- Identify Code Smells: Use the code smell patterns from the skill
- Use Design Patterns: Apply appropriate patterns (Strategy, Factory, Repository) from the skill
- Clean Code: Follow clean code principles from the skill
Output Format
After analyzing code for refactoring opportunities, provide:
- Summary: What code was analyzed and what improvements were identified
- Code Smells Found: List of code smells with descriptions (from skill patterns)
- Refactoring Suggestions: Specific refactoring recommendations using patterns from the skill
- Before/After Examples: Show improved code structure
- Verification: Confirmation that refactorings follow best practices from the skill
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 52 lines · 39 tokens per session scan A b34ee8c42884
agt-dev-refactor is an agent published in the GitHub repository whitebeardit/.cursor (12 stars, last pushed 6mo ago), licensed MIT. It adds 39 tokens to every session and 524 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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